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Identification of <t>key</t> <t>mitochondrial-related</t> DEGs by 5 machine learning methods (A) Screening of key mitochondrial-related DEGs via Least Absolute Shrinkage and Selection Operator <t>(LASSO)</t> logistic regression. (B) Key mitochondrial-related DEGs identified using the Support Vector Machine (SVM) algorithm. (C) Decision Tree algorithm-based identification of key mitochondrial-related DEGs. (D) Key mitochondrial-related DEGs identified through the Random Forest algorithm. (E) Screening of key mitochondrial-related DEGs using the Boruta algorithm.
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Identification of key mitochondrial-related DEGs by 5 machine learning methods (A) Screening of key mitochondrial-related DEGs via Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression. (B) Key mitochondrial-related DEGs identified using the Support Vector Machine (SVM) algorithm. (C) Decision Tree algorithm-based identification of key mitochondrial-related DEGs. (D) Key mitochondrial-related DEGs identified through the Random Forest algorithm. (E) Screening of key mitochondrial-related DEGs using the Boruta algorithm.

Journal: iScience

Article Title: Interplay between acute Type A aortic dissection and pan-cancer: Clinical evidence, bioinformatics, and experimental validation

doi: 10.1016/j.isci.2025.113664

Figure Lengend Snippet: Identification of key mitochondrial-related DEGs by 5 machine learning methods (A) Screening of key mitochondrial-related DEGs via Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression. (B) Key mitochondrial-related DEGs identified using the Support Vector Machine (SVM) algorithm. (C) Decision Tree algorithm-based identification of key mitochondrial-related DEGs. (D) Key mitochondrial-related DEGs identified through the Random Forest algorithm. (E) Screening of key mitochondrial-related DEGs using the Boruta algorithm.

Article Snippet: Identification of key mitochondrial-related DEGs by 5 machine learning methods (A) Screening of key mitochondrial-related DEGs via Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression. (B) Key mitochondrial-related DEGs identified using the Support Vector Machine (SVM) algorithm. (C) Decision Tree algorithm-based identification of key mitochondrial-related DEGs. (D) Key mitochondrial-related DEGs identified through the Random Forest algorithm. (E) Screening of key mitochondrial-related DEGs using the Boruta algorithm.

Techniques: Selection, Plasmid Preparation